神經(jīng)網(wǎng)絡(luò)控制研究及其在精餾塔中的應(yīng)用.pdf

1、ClassifiedIndex：0231UDC：6213SecrecyRate：PublicizedUniversityCode：10082HebeiUniversityofScienceandTechnologyDissertationfortheMasterDegreeTheResearchofNeuralNetworkControlandApplicationinDistillationTowerCandidate：Supervi

2、sor：EnterpriseSupervisor：AcademicDegreeApppliedfor：Speciality：Employer：DateofOralExamination：QiaoZhenminProfPangZhifengMasterofEngineeringMasterofEngineeringMeasurementTechnologyandInstrumentSch001ofInformationScienceand

3、EngineeringOCT，2014摘要摘要論文以制藥企業(yè)精餾塔為研究對(duì)象，通過(guò)神經(jīng)網(wǎng)絡(luò)自適應(yīng)方法研究非線性時(shí)滯系統(tǒng)的神經(jīng)網(wǎng)絡(luò)自適應(yīng)控制以及在精餾塔控制過(guò)程中的應(yīng)用。針對(duì)帶有時(shí)滯的非線性系統(tǒng)控制過(guò)程，設(shè)計(jì)基于細(xì)胞神經(jīng)網(wǎng)絡(luò)的間接自適應(yīng)控制方法，包括神經(jīng)網(wǎng)絡(luò)自適應(yīng)辨識(shí)方法和控制方法。針對(duì)系統(tǒng)時(shí)滯采用LyapunuvKrasovskii泛函來(lái)對(duì)時(shí)滯部分進(jìn)行補(bǔ)償?；谧赃m應(yīng)算法對(duì)神經(jīng)網(wǎng)絡(luò)權(quán)值進(jìn)行在線學(xué)習(xí)，通過(guò)神經(jīng)網(wǎng)絡(luò)間接自適應(yīng)方法設(shè)計(jì)神經(jīng)網(wǎng)絡(luò)